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AI-based solution designed to automate personal data discovery and classification
Discover personal data across multiple systems in the cloud or on-premise
Harbor cooperation between DPO, Legal Services, IT and Marketing
Turn data subject request into an automated workflow with a clear insight into data every step of the way
Collaborate with stakeholders and manage DPIA and LIA in real-time with Assessment Automation
Guide your partners trough vendor management process workflow
Identifying the risk from the point of view of Data Subject
Quickly respond, mitigate damage and maintain compliance
Consolidate your data and prioritize your relationship with customers
Privacy portal allows customers to communicate their requests and preferences at any time
Introducing end-to end automation of personal data removal

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General Data Protection Regulation

Here you can find the official content of the Regulation (EU) 2016/679 (General Data Protection Regulation) in the current version. All Articles of the GDPR are linked with suitable recitals.

Latest papers

Data Graveyard

Data graveyards refer to large sets of data that are stored by organizations, but are no longer actively used or maintained.

These data sets may include outdated or irrelevant information, duplicate records, or data that was collected for a specific purpose but is no longer needed.

Over time, data graveyards can become a significant burden on an organization, taking up valuable storage space and potentially posing a security risk if they contain sensitive or confidential information.

It is important for organizations to regularly review and clean up their data to ensure that they are only storing information that is necessary and relevant, and to minimize the risk of a data breach or other security incident.

In terms of Data Privacy, in order to comply with the General Data Protevtion Regulation (GDPR), companies should delete personal information when there is no longer use for it and schedule data retention and data removal periods.

It automatically decreases the amount of stored data on company servers and the danger of Data Graveyard.

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